Setting Up
Getting Started
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Programming : Enabling the Floating Point Unit (FPU) (16:49)
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Course Resources Download
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Programming : Plotting Signals using the Internal Logic Analyzer (9:15)
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Programming : UART Driver - Analyzing the Documentation (12:13)
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Programming : UART Driver - GPIO Pin Configuration (9:17)
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Programming : UART Driver - Protocol Paramters Configuration (9:30)
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Programming : UART Driver - Transmission Function (5:24)
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Programming : UART Driver - Testing the Driver (8:31)
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Programming : UART Driver - Plotting Signals (12:40)
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Programming : Integrating the CMSIS-DSP Library (11:56)
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Programming : Testing the CMSIS-DSP float32_t (17:17)
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Source Code Download
Signal Statistics and Noise
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Introduction to Signals (4:07)
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The Signal Mean and Standard Deviation (4:06)
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Programming : Developing the Signal Mean Algorithm (7:40)
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Programming : Developing the Signal Variance Algortihm (7:11)
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Programming : Developing the Signal Standard Deviation Algorithm (3:26)
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Programming : Computing the Signal Standard Deviation using CMSIS-DSP (8:25)
Quantization and The Sampling Theorem
ARM Cortex-M DSP Support Features
Linear Systems and Superposition
Convolution
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Introduction to Convolution (3:22)
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The Convolution Operation (6:44)
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Examining the Output of Convolution (4:45)
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The Convolution Sum Equation (2:05)
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Programming : Analyzing the Input Signals of Convolution (16:30)
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Programming : Developing the Convolution Algorithm (15:10)
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Programming : Analyzing the Output Signal of Convolution (11:42)
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Programming : Computing Convolution using CMSIS-DSP (6:24)
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Programming : Developing a SysTick Driver to Measure Dynamic Efficiency (12:39)
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Programming : Measuring the Dynamic Performance of CMSIS-DSP (Part I) (10:48)
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Programming : Measuring the Dynamic Performance of CMSIS-DSP (Part II) (8:04)
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A closer look at the Delta function (5:41)
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The First Difference and Running Sum (1:55)
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Programming : Implementing the Running Sum Algorithm (10:29)
Discrete Fourier Transform (DFT)
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Introduction to Fourier Transform (5:29)
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The Discrete Fourier Transform (DFT) Engine (4:11)
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The Inverse Discrete Fourier Transform (IDFT) (4:32)
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Programming : Developing the Discrete Fourier Transform (DFT) Algorithm (24:18)
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Programming : Analyzing the ECG Signal for Inverse DFT (7:16)
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Programming : Developing the Inverse DFT Algorithm (Part I) (8:20)
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Programming : Developing the Inverse DFT Algorithm (Part II) (17:32)
Configuring the Clock Tree for Maximum Speed
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Programming : Analyzing the Documentation (14:02)
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Programming : Listing out the Steps (7:01)
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Programming : Implementing the Clock Config function (PartI) (10:09)
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Programming : Implementing the Clock Config function (PartII) (18:19)
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Programming : Testing the Clock Tree by Running Inverse DFT at 100Mhz (7:32)
Digital Filter Design
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Programming : Generating Signals with Matlab (12:06)
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Programming : Combining Signals with Matlab (9:37)
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Programming : Designing a Low-pass Filter Kernel in Matlab (14:05)
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Programming : Designing a High-pass Filter Kernel in Matlab (6:24)
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Programming : Analyzing Frequency Components of Signals in Matlab (8:22)
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Programming : Designing Filters using the FDATool in Matlab (6:10)
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Programming : Implementing a Digital Low Pass Filter on Embedded Device (15:58)
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Programming : Implementing a Digital HighPass Filter on Embedded Device (8:21)
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Programming : Comparing the DFT Results of the Embedded Device to Matlab (8:03)
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Programming : Implementing a Moving Average Filter for Smoothening Noisy Signals (16:44)
Signal Processing on Live Sensor Data
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Programming : Developing a Bare-Metal ADC Driver- Analyzing the Documentation (11:34)
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Programming : Developing a Bare-Metal ADC Driver- Initialization Function (14:11)
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Programming : Developing a Bare-Metal ADC Driver- Testing the Driver (11:50)
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Programming : Implementing a Live Sample-by-Sample FIR Filter (Part I) (18:11)
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Programming : Implementing a Live Sample-by-Sample FIR Filter (Part II) (24:46)
Developing the First-In-First-Out (FIFO) Data Structure
Developing a Background Thread for Sampling Sensor Data
Performing Digital Signal Processing on Blocks of Sensor Data
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Programming : Getting a Block of Sensor Data into the FIFO (10:57)
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Programming : Reading from the FIFO (23:16)
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Programming : Applying FIR Filters on a Block of Sensor Data (15:31)
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Programming : Performing Convolution on a Block of Sensor Data using CMSIS-DSP (5:41)
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Programming : Applying Moving Average Filters to a Block of Sensor Data (5:20)
Closing
