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:

Configure the bluetooth in the Raspberry:

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

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:

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

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:

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


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:


Pseudo-random values
Periodicity of the sequence when k > B

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:
\cos{\theta} & -\sin{\theta}\\
\sin{\theta} & \cos{\theta}
\end{bmatrix} \]

This rotation can be coded in MATLAB as:

A possible implementation of the cordic algorithm could be:


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
    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 ./
    6. Select desired devices.
    7. 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/

Rounding in C


The console output is: