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Advanced Digital Signal Processing on ARM Processors

Welcome

Course Overview and Learning Objectives
Tools and Resources Needed
Overview of the NUCLEO-F411 Development Board (1:48)
Section summary

Setting Up

Getting the Required Documentation (7:41)
Downloading CubeIDE (2:34)
Getting the right Package and Setting Up the Project Tree (21:19)
Installing CubeIDE (2:38)
Testing the Project Setup (15:54)

Getting Started

Souce Code Download-PART1
Programming: Enabling the Floating Point Unit (16:49)
Programming: Plotting Signals with the Internal Logic Analyzer (9:15)
Programming: Developing the Uart Driver - Analyzing the Documentation (12:13)
Programming: Developing the Uart Driver - GPIO Config (9:17)
Programming: Developing the Uart Driver - Parameters Config (9:30)
Programming: Developing the Uart Driver - Uart Transmit Function (5:24)
Programming: Developing the Uart Driver - Testing the Driver (8:31)
Programming: Plotting Signals with the Serial Plotter (12:40)
Programming: Integrating the CMSIS-DSP Library (11:56)
Programming: Testing the CMSIS-DSP float32 (17:17)

Introduction to Realtime Signal Processing with RTOS

Buffering Techniques in Realtime DSP (4:51)
Introduction to RTOS in DSP (3:43)
Programming: Setting Up a new Workspace (6:17)
Programming: Integrating FreeRTOS (15:04)
Programming: Testing the FreeRTOS Integration (20:16)

Fixed-point Arithmetic for Digital Signal Processing

Introduction to Fixed Point Arithmetic (5:39)
The Binary Point (4:32)
Understanding Fixed Point Number Representation (3:21)
The Q Datatype (5:30)
Programming: Working with Q Values (20:46)

Realtime Signal Processing with FreeRTOS

Programming: Implementing the Sine Generator Init Function (12:26)
Programming: Implementing the Sine Generator Descriptor (11:05)
Programming: Calculating Sine Samples (3:41)
Programming: Testing the Sine Generator (14:50)
Programming: Combining Signals (9:29)
Programming: Implementing a Lowpass Filter (25:06)
Programming: Working with Semaphores (26:49)
Programming: Developing the Realtime DSP System (19:53)
Programming: The Realtime DSP System with Live Sensor Data(Pt.1) (15:48)
Programming: The Realtime DSP System with Live Sensor Data(Pt.2) (9:12)
Programming: The Realtime DSP System with Live Sensor Data(Pt.3) (14:47)
Programming: The Realtime DSP System with Sensor Data Blocks(Pt.1) (12:00)
Programming: The Realtime DSP System with Sensor Data Blocks(Pt.2) (22:35)
Programming: Realtime DSP with Sensor Data Block- Reading Samples from FIFO (5:23)
Programming: Realtime DSP with Sensor Data Block- The Processing Task(Pt.1) (17:46)
Programming: Realtime DSP with Sensor Data Block- The ProcessingTask(Pt.2) (6:31)
Programming: Realtime DSP with Sensor Data Block- Testing (15:25)
Programming: Realtime DSP with Sensor Data Block(v2)- Block by Block Optimization (19:17)

Foundations of Digital Filter Design

Classifiaction of Digital Filters (5:44)
Relationship between Impulse, Step and Frequency Response (2:15)
The Log Scale and Decibels (3:13)
Time Domain and Frequency Domian Parameters (8:11)
The 4 Common Frequency Responses (2:46)
Filter Design By Spectral Inversion (5:00)
Filter Design By Spectral Reversal (1:54)

The Finite Impulse Response(FIR) Filter

The Finite Impulse Response(FIR) Filter Equation (3:10)
Programminging: The FIR Filter Interface File (5:43)
Programming: Implementing the FIR Filter Initialization Function (4:46)
Programming: Implementing the FIR Filter Execute Function (6:23)
Programming: Testing the FIR Filter (10:15)

The Moving Average Filter for Noise Reduction

The Moving Average Filter Equation (3:06)
Programming: Implementing the Moving Average Filter Interface File (4:47)
Programming: Implementing the Moving Average Filter Algorithm (5:29)
Programming: Testing the Moving Average Filter (18:43)

The Infinite Impulse Response(IIR) Filter

Overvier of the IIR Filter Equation (4:24)
Understanding the IIR Coefficients (3:17)
Analyzing the Direct Form I Structure (5:18)
Analyzing the Direct Form II Structure (4:40)
Cascading Direct Form II Structure (3:23)
IIR Filter Design by Impulse Invariance (3:24)
IIR Filter Design by Billinear Transformation (2:02)
Programming : IIR Filter Design by Impulse Invariance in Matlab (6:13)
Programming: Designing IIRFilters using Matlab FilterDesigner Tool (6:17)
Programming: Implementing a Matlab Script forGenerating .h Coefficient Header Files (12:10)
Programming: Generating Signals in Matlab for Developing IIR Filters (13:15)
Programming: Programmatic IIR Filter Design in Matlab (10:33)
Programming: Generating the Coefficients .h file Matlab (9:04)
Programming: Developing the IIR Direct Form 2 Algorithm (Pt.1) (10:29)
Programming: Developing the IIR Direct Form 2 Algorithm (Pt.2) (6:22)
Programming: Testing the IIR Direct Form 2 Algorithm (12:48)
Programming: IIR Filter with Live Sensor Data (8:34)

Adaptive Filters

Configurations of Adaptive Filters (7:37)
Introduction to Adaptive Filters (3:30)
The Performance Function (4:30)
The Least Mean Squares (1:48)
Programming: The Adaprive filter LMS Algorithm (Pt.1)) (12:29)
Programming: The Adaprive filter LMS Algorithm (Pt.2)) (7:58)
Programming: Testing the Adaprive filter LMS Algorithm (12:51)
Programming: Adaptive Filter for Noise Cancellation(Pt.1) (10:01)
Programming: Adaptive Filter for Noise Cancellation(Pt.2) (16:19)

Fast Fourier Transform(FFT)

The Decimation In Frequency RADIX-2 Algorithm(Pt.1) (4:20)
Introduction to Fast Fourier Transform(FFT) (3:55)
The Decimation In Frequency RADIX-2 Algorithm(Pt.2) (3:59)
The Decimation In Time and RADIX-4 Algorithm (2:24)
Programming: Developing the Complex DFT Algorithm (24:15)
Programming: Developing the Complex DFT Algorithm- More Testing (9:07)
Programming: Developing the Complex DFT Algorithm with Twiddles (11:37)
Programming: Developing the Complex DFT Algorithm with Twiddles an ECG Signal (16:41)
Programming: Developing the Complex FFT Algorithm (8:59)
Porgramming: Developing the Complex FFT Algorithm (13:48)
Programming: Testing the Complex FFT Algorithm (6:42)
Programming: Testing the Complex FFT Algorithm with an ECG Signal (5:32)

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