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DSP device on which material is based: TMS3. C6. 00. 0DSP development tools used in material: TMS3. C6. 71. 1 DSK, Audio Daughter Card. Type of Materials: Lab Exercises. Application area: Audio. Type/level of lab: General EE, Non- EE, Introductory undergraduate, Advanced undergraduate, TMS3. C6. 00. 0Is the Lab a primary focus of the course? Illustrates the use of DSP in audio setting. Signal generator or electric guitar. Using ring- modulation to produce sum and difference frequencies, as used in science- fiction TV/films. Application 2. Using buffers to generate delayed playback (as used on radio phone- ins). Introduction to Finite Impulse Response (FIR) configuration. Application 3. Using FIR filters to divide audio signal into bass and treble. Application 4. Reverberation, treble boost and distortion for electric guitar. Application 5. Uses adaptive filter to identify 6 notes of guitar strings. Application 6. Use buffers as to record and playback voice / music. Playback at half- speed and double speed to introduce concepts of decimation and interpolation. Application 7. Simulation of echoing room / auditorium using feedback filter. Introduction to Infinite Impulse Response (IIR) filter configuration. Application 8. Generates sine waves sweeping between 6. Hz to 1. 2 k. Hz to act as test wave forms for filters etc. Sine wave forms generated using recursive equation. Name/Title of Material: DSP systems design. Author: Evangelos Zigouris. Simulation like using MATLAB. The Digital Signal Processing Lab comprises of test and measurement equipment for. This book provides an applications-oriented introduction to digital signal processing. MATLAB functions for implementing various DSP. DSP lab course, as is done. PESIT DSP LABORATORY MANUAL CONTENTS DSP using Matlab 1. Programs to Design IIR filters % Program to Design the Digital IIR. The DSP lab consists of four of hardware experiments illustrating the. The plotting of data created by C or MATLAB programs can be done using MATLAB’s extensive. University: University of Patras. E- mail: ez@physics. DSP device on which material is based: TMS3. C6. 00. 0DSP development tools used in material: TMS3. C6. 21. 1 DSKType of Materials: Lab Exercises. Application area: Communications, General Signal Processing. Type/level of lab: Advanced graduate. Is the Lab a primary focus of the course? Examples of how to implement block based (using DMA), as well as sample based (using polling), signal processing of audio data. An application which displays the impulse response of the acustic channel in real- time serves as an illustrative example of how the an windows interface might be designed and used for controlling the DSP- program. Yes. Type of course for which material was developed: Lab. Language in which material is written: English. Developed/Last Updated Date: June 2. Course URL: http: //www. File type: Adobe Acrobat PDF, HTML, C/Assembly/Executable. File: F2. 4x EVM Labs. MB)Computer Language on which the material is based: CDescription of item(s)/value to others: The labs are based on the TMS3. LF2. 40. 7 EVM / TMS3. F2. 43 EVM. Yes. Type of course for which material was developed: Lab. Language in which material is written: English. Developed/Last Updated Date: August 2. File type: Adobe Acrobat PDF, Matlab, Executable, Assembly. File: FIR Lab. zip (1. K)Computer Language on which the material is based: Assembler. Description of item(s)/value to others: This lab is meant to explore the basic characteristics and design of FIR filters. Yes. Type of course for which material was developed: Theory. Language in which material is written: English. Developed/Last Updated Date: 5/0. Course URL: http: //www. File types: Archived Source File, Code Composer Studio Project, MS Word. Files: labho. zip (3. K), codecpoll. zip (5. K), codecint. zip(5. K)Computer Language on which the material is based: CDescription of item(s)/value to others: This is part of an NSF sponsored project. Nine laboratory assignments were developed as well as a base set of code for use with the TMS3. C6. 70. 1 EVM boards. The laboratory assignments are. Assembly programming basics. Assembly programming. C programming basics. Real- time processing using polling. Real- time processing using interrupts. Spectral inversion. FIR filtering. IIR filtering. Adaptive filtering. To aid the students in learning to use the TMS3. C6. 70. 1 EVM some example projects were developed. These projects were the basis for student projects that processed data using the on board CODEC. The projects and files are. Polling project: codec. They cover five lectures on DSP theory and demonstrate the software and basic capabilities of the C3x DSK board. The demos cover number representation, the speed of the floating- point multiply and accumulate operation, tone generation, analog to digital conversion, use of an FIR filter, how analog signals appear in the frequency domain, and an introduction to developing a DSP system taking into account communication between the DSP and digital to analog converter and sine wave generation. They cover five lectures on DSP theory and demonstrate the software and basic capabilities of the C5x DSK board. The demos cover playing a musical tune, the speed of the multiply and accumulate operation, quantization errors, aliasing, a low- pass filter, displaying graphical displays of the signals using the software tools, and an introduction to developing a DSP system taking into account communication between the DSP and digital to analog converter and sine wave generation. Gomes IIIUniversity: University of Hertfordshire/Texas Instruments/i. DSPEmail: dsph@ti. DSP Platform on which Material is Based: TMS3. C5. 00. 0DSP Device on which this Material is Based: TMS3. C5. 4x. DSP Development Tools Used in Material: TMS3. C5. 40. 2 DSKType of Material: Lectures, Tutorials, Lab Exercises. Application Area: None. Type/Level of Lab: Introductory Undergraduate. Is the Lab a Primary Focus of the Course?: No. Major Emphasis of Course for which Material was Developed: Theory. Language in which Material is Written: English. Developed/Last Updated Date: March 2. Computer Language in which Material is Written: Assembly, CFile Types: Word, Power. Point, Executable/Source Code. Files: TMS3. 20. C5. DTK. zip(1. 7. 9. M)Description/Value to Others: These materials are lecture slides, instructor notes, suggested test questions, and 5. DSK- based programs previously offered by TI as the TMS3. C5. 00. 0 DSP Teaching Kit. Included are. Six chapters of information on DSP and C5. DSP architecture including slides, lecture notes, and test questions for each chapter. Chapter 1: Introduction to DSP (includes C5. Chapter 2: From Analog to Digital. Chapter 3: Filtering. Chapter 4: The Frequency Domain. Chapter 5: Applications of DSPChapter 6: Assembly Language Basics. Fourteen C5. 00. 0 DSP assembly language tutorials. Five demo programs that demonstrate the Code Composer Studio software and as well as the capabilities of the C5. DSK board. The demos cover number representation, the speed of the fixed- point multiply and accumulate operation, analog to digital conversion, how analog signals appear in the frequency domain, and digital filters. This course assumes that students are already familiar with basic discrete time theory including such concepts and techniques as discrete time signals and systems, sampling and reconstruction of analog signals, linear time- invariant systems, structures for the realization of LTI systems, FIR and IIR filter design, decimation and interpolation, the discrete Fourier transform and Z transform, overlap- add and overlap- save methods of fast filtering in the frequency domain, response of LTI systems to discrete random signals, the FFT and its implementation. The motivation of the course is that the advantages of DSP are better demonstrated by lab examples covering a representative diversity of application scenarios, and that effective learning happens when the student is challenged with specific DSP design and realization issues. During a 1. 3 week semester, students have to perform 1. Matlab and assembly programming. A signal generator if available would be useful. Allows the student to use the 2 user switches as inputs and the 3 LEDs as a bargraph display. Requires a CD player / walkman and headphones / powered computer speakers. If available, a signal generator would be useful. Users the 4 user switches on the TMS3. C5. 41. 6 DSK and configures the 4 LEDs as a bargraph display. What sampling rate is required fora) music? The C code provided allows 1. Hz down to 1 k. Hz to be selected using the user switches on the DSK. How many sampling bits are required for acceptable quality a) music and b) speech? In order to divide music into bass and treble, a Finite Impulse Response (FIR) filter can be used. Which of the following types of FIR filter gives the best sound: Rectangular, Hamming, Hanning, Blackman and Kaiser? When using a Finite Impulse Reponse Filter (FIR), how many coefficients are required for hi- fi sound quality? How many coefficients are required for acceptable speech quality? A signal generator if available would be useful. Template for an audio project. Allows the student to use the 4 user switches as inputs and the 4 LEDs as a bargraph display. Uses circular buffers and introduces configuration also used for Finite Impulse Response (FIR) filters. Uses circular buffers and introduces the configuration used for Infinite Impulse Response (IIR) filters. The frequency at which bass and treble are separated is adjusted using the 4 user switches in the range 1. Hz to 6. 40. 0 Hz. These can also be used as the basis of laboratories. Template. A template for an audio project. Sets up the 4 LEDs on the TMS3. C5. 41. 6 DSK as a bargraph and the 4 user switches to control the audio processing. Delays and Echo. Simulates the delays experienced in communications networks and the reflection of sound heard in a canyon. Introduces circular buffers and the configuration used for Finite Impulse Response (FIR) filters. Reverberation. Simulates single and multiple reflections of sound from the walls of a room or auditorium. Introduces the configuration used for Infinite Impulse Response (IIR) filters. Electronic Crossover. Divides an audio signal into bass and treble components for driving different loudspeakers using FIR filters. The user switches on the TMS3. C5. 41. 6 DSK select 1. Hz and 1. 28. 00 Hz. Trade with AvaTrade and enjoy an industry-leading selection of Automated Trading solutions, including Mirror Trader, MQL5, Signal Trader and ZuluTrade. Blue Wave Trading has been developing automated trading systems since 1997 and has become a premier developer of automated strategies in the retail side of the trading industry supporting NinjaTrader and Trade Station. An automated trading system (ATS) is a computer program that creates orders and automatically submits them to a market center or exchange. Automated trading systems are often used with electronic trading in automated market. 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