Rubén Sánchez

Send audio from mobile phone (Android/iOS) to Raspberry

Platform used: Raspberry Pi 3 B+
Bluetooth module: built-in
First, update firmware to make sure you have latest version:

sudo rpi-update

1	sudo rpi-update

Configure the bluetooth in the Raspberry:

pi@raspberrypi:~ $ bluetoothctl
[NEW] Controller B8:27:EB:DB:58:46 raspberrypi [default]
[NEW] Device C0:EE:FB:44:43:9A Noname
[bluetooth]# power on
Changing power on succeeded
[bluetooth]# agent on
Agent registered
[bluetooth]# default-agent
Default agent request successful
[bluetooth]# discoverable on
Changing discoverable on succeeded
[CHG] Controller B8:27:EB:DB:58:46 Discoverable: yes
[bluetooth]# pairable on
Changing pairable on succeeded

pi@raspberrypi:~ $ bluetoothctl

[NEW] Controller B8:27:EB:DB:58:46 raspberrypi [default]

[NEW] Device C0:EE:FB:44:43:9A Noname

[bluetooth]# power on

Changing power on succeeded

[bluetooth]# agent on

Agent registered

[bluetooth]# default-agent

Default agent request successful

[bluetooth]# discoverable on

Changing discoverable on succeeded

[CHG] Controller B8:27:EB:DB:58:46 Discoverable: yes

[bluetooth]# pairable on

Changing pairable on succeeded

In your mobile phone, search for the raspberry bluetooth signal and pair to it:

[Noname]# connect C0:EE:FB:44:43:9A
Attempting to connect to C0:EE:FB:44:43:9A
[CHG] Device C0:EE:FB:44:43:9A ServicesResolved: yes
Connection successful
[Noname]# trust C0:EE:FB:44:43:9A
Changing C0:EE:FB:44:43:9A trust succeeded
[CHG] Controller B8:27:EB:DB:58:46 Discoverable: no
[Noname]# exit

[Noname]# connect C0:EE:FB:44:43:9A

Attempting to connect to C0:EE:FB:44:43:9A

[CHG] Device C0:EE:FB:44:43:9A ServicesResolved: yes

Connection successful

[Noname]# trust C0:EE:FB:44:43:9A

Changing C0:EE:FB:44:43:9A trust succeeded

[CHG] Controller B8:27:EB:DB:58:46 Discoverable: no

[Noname]# exit

Now, you can try to play some audio in your mobile and it should be reproduced in the the Raspberry.
In my case, audio was driven out to the HDMI. In case you want to switch it through the Jack 3.5 mm output you can run:

sudo raspi-config

1	sudo raspi-config

Then, select Advanced Options > Audio > Force 3.5 mm (‘headphone’) jack
With this all set, you can stream any audio such as the built-in music player, Spotify or YouTube to the Raspberry and from it to the connected speakers or HDMI display.

Finally, as the device has been stored as a trusted device, every time the Raspberry is booted, you won’t need to repeat this process. It will be so easy as connecting your mobile phone to the available raspberry bluetooth signal.

Handling with several devices

If you pair several devices, only first connected device will be able to stream audio. If I connect my computer to the raspberry and then I try to connect my mobile phone (both previously paired and trusted), phone connection will fail. First, I’ll need to disconenct my computer and only then I’ll be able to successfully connect to the raspberry with my mobile phone.

Web scraper with Scrapy

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import scrapy
import re

title_regex       = r'Letra de\s+([a-zA-Z0-9áéíóúñü_,!¡¿?"() ]+)\s-'
empty_lines_regex = r"^\s+$"
tabs_regex        = r"^[\n\t]+"

class ConchaPiquerSpider(scrapy.Spider):
    name = 'conchitabot'
    allowed_domain = ['http://www.coveralia.com']
    start_urls = ['http://www.coveralia.com/letras-de/concha-piquer.php']
    custom_settings = {
        'FEED_EXPORT_ENCODING': 'utf-8',
    }
    BASE_URL = 'http://www.coveralia.com'
    def parse(self, response):
        lyric_links = response.css(".lista_uno li a::attr(href)").extract()
        for link in lyric_links:
            absolute_url = self.BASE_URL + link
            yield scrapy.Request(absolute_url, callback=self.parse_lyric)
        lyric_names_raw = response.css(".lista_uno li a::text").extract()


    def parse_lyric(self,response):
        raw_titles = response.css("h1").extract()
        for raw_title in raw_titles:
            match = re.search(title_regex, raw_title.encode("utf-8"))
            if match:
                title = match.group(1)
        raw_text = response.css("#HOTWordsTxt::text").extract()
        encoded_text = []
        single_string = ""
        for item_text in raw_text:
            single_string = single_string + item_text

        lyric = self.clean_lyric(single_string)

        text_file = open("./letras/" + title + ".txt", "w")
        text_file.write(lyric)
        text_file.close()

    def clean_lyric(self,dirty_str):
        encoded = dirty_str.encode("utf-8")
        no_spaces = re.sub(r"^\s+", '', encoded)
        no_tabs = re.sub(r"[\n\t]+", '', no_spaces)
        return no_tabs

#!/usr/bin/env python

# -*- coding: utf-8 -*-

import scrapy

import re

title_regex = r'Letra de\s+([a-zA-Z0-9áéíóúñü_,!¡¿?"() ]+)\s-'

empty_lines_regex = r"^\s+$"

tabs_regex = r"^[\n\t]+"

class ConchaPiquerSpider(scrapy.Spider):

name = 'conchitabot'

allowed_domain = ['http://www.coveralia.com']

start_urls = ['http://www.coveralia.com/letras-de/concha-piquer.php']

custom_settings = {

'FEED_EXPORT_ENCODING': 'utf-8',

}

BASE_URL = 'http://www.coveralia.com'

def parse(self, response):

lyric_links = response.css(".lista_uno li a::attr(href)").extract()

for link in lyric_links:

absolute_url = self.BASE_URL + link

yield scrapy.Request(absolute_url, callback=self.parse_lyric)

lyric_names_raw = response.css(".lista_uno li a::text").extract()

def parse_lyric(self,response):

raw_titles = response.css("h1").extract()

for raw_title in raw_titles:

match = re.search(title_regex, raw_title.encode("utf-8"))

if match:

title = match.group(1)

raw_text = response.css("#HOTWordsTxt::text").extract()

encoded_text = []

single_string = ""

for item_text in raw_text:

single_string = single_string + item_text

lyric = self.clean_lyric(single_string)

text_file = open("./letras/" + title + ".txt", "w")

text_file.write(lyric)

text_file.close()

def clean_lyric(self,dirty_str):

encoded = dirty_str.encode("utf-8")

no_spaces = re.sub(r"^\s+", '', encoded)

no_tabs = re.sub(r"[\n\t]+", '', no_spaces)

return no_tabs

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import os
import re

def get_sorted_files(Directory):
    filenamelist = []
    for root, dirs, files in os.walk(Directory):
        for name in files:
            fullname = os.path.join(root, name)
            filenamelist.append(fullname)
    return sorted(filenamelist)

text = "<head><meta charset='utf-8'>"
folder = "./letras/"
files = get_sorted_files(folder)
for filename in files:
    filebase = re.sub(folder, "", filename)
    filebase = re.sub("\..*$", "", filebase)
    with open(filename,'r') as f:
        text = text + "<h1>" + filebase + "</h1><pre>" + f.read() + "</pre>"

unified = open("unified.html", "w")
unified.write(text)
unified.close()

#!/usr/bin/env python

# -*- coding: utf-8 -*-

import os

import re

def get_sorted_files(Directory):

filenamelist = []

for root, dirs, files in os.walk(Directory):

for name in files:

fullname = os.path.join(root, name)

filenamelist.append(fullname)

return sorted(filenamelist)

text = "<head><meta charset='utf-8'>"

folder = "./letras/"

files = get_sorted_files(folder)

for filename in files:

filebase = re.sub(folder, "", filename)

filebase = re.sub("\..*$", "", filebase)

with open(filename,'r') as f:

text = text + "<h1>" + filebase + "</h1><pre>" + f.read() + "</pre>"

unified = open("unified.html", "w")

unified.write(text)

unified.close()

Inner product in vector space

The inner product is an operation that measures the similarity between vectors. In a general way, the inner product could be defined as an operation of 2 operands, which are elements of a vector space. The result is a scalar in the set of the complex numbers:

\[ \left \langle \cdot, \cdot \right \rangle : V \times V \rightarrow \mathbb{C} \]

Formal properties

For $x, y, z \in V$ and $\alpha \in \mathbb{C}$, the inner product must fulfill the following rules:

To be distributive to vector addition:

$ \left \langle x+y, z \right \rangle = \left \langle x, z \right \rangle + \left \langle y, z \right \rangle $

Conmutative with conjugate (applies when vectors are complex):

$ \left \langle x,y \right \rangle = \left \langle y, x \right \rangle^* $

Distributive respect scalar multiplication:

$ \left \langle \alpha x, y \right \rangle = \alpha^* \left \langle x, u \right \rangle $

$ \left \langle x, \alpha y \right \rangle = \alpha \left \langle x, u \right \rangle $

The self inner product must be necessarily a real number:

$ \left \langle x, x \right \rangle \geq 0 $

The self inner product can be zero only when the element is the null element:

$ \left \langle x,x \right \rangle = 0 \Leftrightarrow x = 0 $

Inner product in $\mathbb{R}^2 $

The inner product in $ \mathbb{R}^2$ is defined as follows:

$ \left \langle x, y \right \rangle = x_0 y_0 + x_1 y_1 $

In self inner product represents the squared norm of the vector:

$ \left \langle x, x \right \rangle = x^2_0 + y^2_0 = \left \| x \right \|^2 $

Inner product in finite length signals

In this case, the inner product is defined as:

\[ \left \langle x ,y \right \rangle = \sum_{n= 0}^{N-1} x^*[n] y[n] \]

Properties of vector spaces

Vector spaces must meet the following rules:
Addition to be commutative:
$ x + y = y + x $

Addition to be distributive:
$ (x+y)+z = x + (y + z) $

Scalar multiplication to be distributive with respect to vector addition:
$ \alpha\left(x + y \right) = \alpha x + \alpha y$

Scalar multiplication to be distributive with respect to vector the addition of field scalars:
$ \left( \alpha + \beta \right) x = \alpha x + \beta y $

Scalar multiplication to be associative:
$ \alpha\left(\beta x \right) = \left(\alpha \beta \right) x $

It must exist a null element:
$ \exists 0 \in V \ \ | \ \ x + 0 = 0 + x = x $

It must exist an inverse element for every element in the vector space:
$ \forall x \in V \exists (-x)\ \ | \ \ x + (-x) = 0$

The uvm_object class

The uvm_object class is the base class for all UVM classes. From it, all the rest of classes are extended. It provides basic functionalities such as print, compare, copy and similar methods.

This class can be used when defining reusable parts of a sequence items. For example, in a packet like uvm_sequence_item, we could define a uvm_object extended object for defining the header. This would be:

class packet_header extends uvm_object;

   rand bit [2:0] len;
   rand bit [2:0] addr;

   `uvm_object_utils_begin(packet_header)
      `uvm_field_int(len, UVM_DEFAULT)
      `uvm_field_int(addr, UVM_DEFAULT)
   `uvm_object_utils_end

   function new (string name="packet_header");
      super.new(name);
   endfunction : new

endclass : packet_header

class packet_header extends uvm_object;

rand bit [2:0] len;

rand bit [2:0] addr;

`uvm_object_utils_begin(packet_header)

`uvm_field_int(len, UVM_DEFAULT)

`uvm_field_int(addr, UVM_DEFAULT)

`uvm_object_utils_end

function new (string name="packet_header");

super.new(name);

endfunction : new

endclass : packet_header

This packet_header could be included in a packet class for conforming the uvm_sequence_item (the transaction) which will compose the sequences:

class simple_packet extends uvm_sequence_item;

   rand packet_header header;
   rand bit [4:0] payload;

   `uvm_object_utils_begin(simple_packet)
      `uvm_field_object(header, UVM_DEFAULT)
      `uvm_field_int(payload, UVM_DEFAULT)
   `uvm_object_utils_end

   function new (string name = "simple_packet");
      super.new(name);
      header = packet_header::type_id::create("header");
   endfunction : new

endclass : packet

class simple_packet extends uvm_sequence_item;

rand packet_header header;

rand bit [4:0] payload;

`uvm_object_utils_begin(simple_packet)

`uvm_field_object(header, UVM_DEFAULT)

`uvm_field_int(payload, UVM_DEFAULT)

`uvm_object_utils_end

function new (string name = "simple_packet");

super.new(name);

header = packet_header::type_id::create("header");

endfunction : new

endclass : packet

Pseudo-random number generator with Fibonacci sequence

\[ s_k = (k\cdot A) \bmod B\]

$s_k$ is the pseudo-random number and $A$ and $B$ are prime numbers. $k$ is in the range $[0,B-1]$. If $k$ is greater than $B-1$, the results will be repeat as $B$ is the period of the sequence.
For example, $A = 7$ and $B = 17$. This sequence written in MATLAB could be:

A = 7;
B = 17;
n = [];

t = 0:B;
for i=0:B
    n = [n mod(i*A,B)];
end

stem(t,n);

A = 7;

B = 17;

n = [];

t = 0:B;

for i=0:B

n = [n mod(i*A,B)];

end

stem(t,n);

Cordic in MATLAB

Let’s z be a 2D point in the space as $z = x + jy$, if we want to rotate this point a given angle $\theta$, we get the following expressions:
\[e^{j\theta} \cdot z = \left(\cos{\theta} + j \sin{\theta}\right)\left(x+jy\right) \\ = x\cos{\theta}-y\sin{\theta} + j \left(y \cos{\theta} + x \sin{\theta} \right) \\ = x’ + j y’ \]

Then, for a generic point, the rotation can be expressed as an equation system, where $x’$ and $y’$ are the new coordinates, $\theta$ is the rotation angle and $x$ and $y$ are the original coordinates:
\[\begin{bmatrix}
x’\\
y’
\end{bmatrix}=
\begin{bmatrix}
\cos{\theta} & -\sin{\theta}\\
\sin{\theta} & \cos{\theta}
\end{bmatrix}\begin{bmatrix}
x\\
y
\end{bmatrix} \]

This rotation can be coded in MATLAB as:

%% Function to rotate vector
function v = rotate(P, theta)
    rot = [cos(theta) -sin(theta);
           sin(theta) cos(theta)];
    v = rot*P;
end

%% Function to rotate vector

function v = rotate(P, theta)

rot = [cos(theta) -sin(theta);

sin(theta) cos(theta)];

v = rot*P;

end

A possible implementation of the cordic algorithm could be:

%% Clear all previous values
clear all;

%% Define vectors
A = [2;-3];
O = [0;0];

%% Define accuracy
error_limit = 0.01;

%% Initialize variables
start_angle = pi/2; % 90º
current_angle = start_angle;
acc_angle = 0;

A_rotated = A;
steps = 0;

% Second quadrant (90º - 180º)
if(A_rotated(1) < 0 && A_rotated(2) > 0)
    A_rotated = rotate(A_rotated, -pi/2);
    acc_angle = pi/2;
% Third quadrant (180º - 270º)
elseif(A_rotated(1) < 0 && A_rotated(2) < 0)
    A_rotated = rotate(A_rotated, -pi);
    acc_angle = pi;
% Forth quadrant (270º - 360º)
elseif(A_rotated(1) > 0 && A_rotated(2) < 0)
    A_rotated = rotate(A_rotated, -3*pi/2);
    acc_angle = 3*pi/2;    
end


%% Compute angle
% Keep rotating while error is too high
while(abs(A_rotated(2)) > error_limit)
    % Represent current vector
    quiver(0, 0,A_rotated(1), A_rotated(2));
    % Keep previous vectors
    hold on;
    % Decrease angle rotation
    current_angle = current_angle/2;
    % (For debugging purposes)
    current_angle_deg = current_angle*180/pi;
    % Save current error
    error = A_rotated(2);
    % If y coordinate is still positive
    if(error > 0)
        % Rotate again conterclockwise
        A_rotated = rotate(A_rotated, -1*current_angle);
        % Accumulate rotated angle
        acc_angle = acc_angle + current_angle;
    % If y coordinate is negative
    else
        % Rotate vector clockwise
        A_rotated = rotate(A_rotated, current_angle);
        % Substract current angle to the accumulator because we have
        % overcome the actual angle value
        acc_angle = acc_angle - current_angle;
    end
    
    % (For debugging purposes)
    acc_angle_deg = acc_angle*180/pi;
    % Increase step counter
    steps = steps + 1;
end

% Print angle, hypotenuse length and number of steps needed to compute
fprintf('Angle = %f\nHypotenuse = %f\nNumber of steps: %d\n', acc_angle*180/pi, A_rotated(1), steps);


%% Function to rotate vector
function v = rotate(P, theta)
    rot = [cos(theta) -sin(theta);
           sin(theta) cos(theta)];
    v = rot*P;
end

%% Clear all previous values

clear all;

%% Define vectors

A = [2;-3];

O = [0;0];

%% Define accuracy

error_limit = 0.01;

%% Initialize variables

start_angle = pi/2; % 90º

current_angle = start_angle;

acc_angle = 0;

A_rotated = A;

steps = 0;

% Second quadrant (90º - 180º)

if(A_rotated(1) < 0 && A_rotated(2) > 0)

A_rotated = rotate(A_rotated, -pi/2);

acc_angle = pi/2;

% Third quadrant (180º - 270º)

elseif(A_rotated(1) < 0 && A_rotated(2) < 0)

A_rotated = rotate(A_rotated, -pi);

acc_angle = pi;

% Forth quadrant (270º - 360º)

elseif(A_rotated(1) > 0 && A_rotated(2) < 0)

A_rotated = rotate(A_rotated, -3*pi/2);

acc_angle = 3*pi/2;

end

%% Compute angle

% Keep rotating while error is too high

while(abs(A_rotated(2)) > error_limit)

% Represent current vector

quiver(0, 0,A_rotated(1), A_rotated(2));

% Keep previous vectors

hold on;

% Decrease angle rotation

current_angle = current_angle/2;

% (For debugging purposes)

current_angle_deg = current_angle*180/pi;

% Save current error

error = A_rotated(2);

% If y coordinate is still positive

if(error > 0)

% Rotate again conterclockwise

A_rotated = rotate(A_rotated, -1*current_angle);

% Accumulate rotated angle

acc_angle = acc_angle + current_angle;

% If y coordinate is negative

else

% Rotate vector clockwise

A_rotated = rotate(A_rotated, current_angle);

% Substract current angle to the accumulator because we have

% overcome the actual angle value

acc_angle = acc_angle - current_angle;

end

% (For debugging purposes)

acc_angle_deg = acc_angle*180/pi;

% Increase step counter

steps = steps + 1;

end

% Print angle, hypotenuse length and number of steps needed to compute

fprintf('Angle = %f\nHypotenuse = %f\nNumber of steps: %d\n', acc_angle*180/pi, A_rotated(1), steps);

%% Function to rotate vector

function v = rotate(P, theta)

rot = [cos(theta) -sin(theta);

sin(theta) cos(theta)];

v = rot*P;

end

I have coded an interactive applet to illustrate the algorithm. It has been done using the p5.js library. The error limit has been set to $0.5$.

Install Quartus in Ubuntu 16.04

1. Open http://dl.altera.com/?edition=lite
2. Login and click on desired Quartus version download
3. Click in the individual file links to start download (Akamai DLM3 Download Manager might not work).
4. Extract Quartus installer.
5. Run setup.sh: ./setup.sh
7. Select desired devices.
8. For launching modelsim, install libxft2 32 bit version library: sudo apt install libxft2:i386. Then execute ./vsim in the path intelFPGA_lite/17.1/modelsim_ase/linuxaloem/

UVM class hierarchy

Rounding in C

#define round(x) x >= 0.0 ? (int)(x + 0.5) : ((x - (double)(int)x) >= -0.5 ? (int)x : (int)(x - 0.5))

1	#define round(x) x >= 0.0 ? (int)(x + 0.5) : ((x - (double)(int)x) >= -0.5 ? (int)x : (int)(x - 0.5))

Example:

#include <stdio.h>

#define round(x) x >= 0.0 ? (int)(x + 0.5) : ((x - (double)(int)x) >= -0.5 ? (int)x : (int)(x - 0.5))

void main(void){
   float f1 = 3.14, f2 = 6.5, f3 = 7.99;
   int r1, r2, r3;
   r1 = round(f1);
   r2 = round(f2);
   r3 = round(f3);


   printf("r1 = %d\nr2 = %d\nr3 = %d\n", r1, r2, r3);
}

#include <stdio.h>

#define round(x) x >= 0.0 ? (int)(x + 0.5) : ((x - (double)(int)x) >= -0.5 ? (int)x : (int)(x - 0.5))

void main(void){

float f1 = 3.14, f2 = 6.5, f3 = 7.99;

int r1, r2, r3;

r1 = round(f1);

r2 = round(f2);

r3 = round(f3);

printf("r1 = %d\nr2 = %d\nr3 = %d\n", r1, r2, r3);

}

The console output is:

r1 = 3
r2 = 7
r3 = 8

r1 = 3

r2 = 7

r3 = 8

Handling with several devices

Formal properties

Inner product in \(\mathbb{R}^2 \)

Inner product in finite length signals