2002 1849 Performance of Blind and Group-Blind Multiuser Detectors Anders Høst-Madsen‚ Member‚ IEEE‚ and Xiaodong Wang‚ Member‚ IEEE Abstract—In blind (or group-blind) linear multiuser detection‚ the detector is estimated from the received signals‚ with the prior knowledge of only the signature waveform of the desired user (or the signature waveforms of some but not all users). The performance of a number of such estimated linear detectors‚ including the direct-matrix-inversion (DMI) blind
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EEE 311: Digital Signal Processing-I Course Teacher: Dr. Newaz Md. Syfur Rahim Associated Professor‚ Dept of EEE‚ BUET‚ Dhaka 1000. Syllabus: As mentioned in your course calendar Reference Books: 1. Digital Signal Processing: Principles‚ Algorithms‚ and Applications – John G. Proakis 2. Digital Signal Processing: A Practical Approach – Emmanuel C. Ifeachor 3. Schaum’s Outlines of Digital Signal Processing 4. Modern Digital Signal Processing – Roberto Cristi Course
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Digital signal processing Digital signal processing Digital signal processing (DSP) is the mathematical manipulation of an information signal to modify or improve it in some way. It is characterized by the representation of discrete time‚ discrete frequency‚ or other discrete domain signals by a sequence of numbers or symbols and the processing of these signals. The goal of DSP is usually to measure‚ filter and/or compress continuous real-world analog signals. The first step is usually to
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Lab manual for Digital Signal Processing Lab III B. Tech II Semester Prepared by J. Sunil Kumar‚ P.Saritha & Ch.Sateesh kumar reddy Department of Electronics & Communication Engineering Turbomachinery Institute of Technology & Sciences (Approved by AICTE & Affiliated to JNTUH) Indresam(v)‚ Patancheru(M)‚ Medak(Dist). Pin: 502 319 Date:………… DSP Lab Manual ……… Turbomachinery Institute of Technology & Sciences Certificate This is to certify that Mr. / Ms. ………………………………….
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nikhil teja DIGITAL SIGNAL PROCESSING A signal is defined as any physical quantity that varies with time‚ space or another independent variable. A system is defined as a physical device that performs an operation on a signal. System is characterized by the type of operation that performs on the signal. Such operations are referred to as signal processing. Advantages of DSP 1. A digital programmable system allows flexibility in reconfiguring the digital signal processing operations by changing
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DIGITAL SIGNAL – IMAGE SIGNAL PROCESSING LAB MANUAL PREPARED BY: B.C.SURVE/SHARATH B. ASSISTANT PROFESSOR CONTENTS: 1)Experiment 1: INTRODUCTION WITH MATLAB SOFTWARE 2) Experiment 2: GENERATION OF BASIC CONTINUES SIGNALS / BASIC DISCRETE SIGNALS 3) Experiment 3: IMPULSE RESPONSE OF AN LTI SYSTEM 4) Experiment 4: CONVOLUTION OF TWO SEQUENCE AND PROPERTIES OF CONVOLUTION 5) Experiment 5: CORRELATION- AUTOCORRELATION 6) Experiment 6: read and display
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ADVANTAGES OF DIGITAL COMMUNICATION AND SIGNAL PROCESSING I. INTRODUCTION Modern technologies such as digital communication and signal processing have give us a lot of improvement in our life with it’s advantages. II. BODY A. Medical field will be more efficient with the presence of signal processing. 1. History has been made when The Electrical Engineering Faculty of Universiti Teknologi Malaysia (UTM) poneering the digital signal processing to detect a person’s heart status (Zu Ao
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Impact of Digital Signal Processing Introduction Early in the years of computers‚ the then generation had predictions. They saw computers or rather artificial intelligence turn-around how people would relate with each other and their environment. They had a believe of how machines like computers being our drivers‚ robots doing our chores and functions like voice interface controlling retrieval and storage of data and information. However‚ it never came to pass because of the difficulty in implementing
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undergraduate study‚ I sharpened my intuitive intellect contemplating on physical interpretations for signal processing concepts. The challenges posed by biomedical signal processing enticed me to take up my dissertation on retinal image registration. The quest to realize signal processing algorithms in real-time made me understand the power of FPGA. During my graduate‚ I wish to enhance my knowledge in Image Processing and Biomedical Imaging and sharpen my skills in programming FPGA and embedded systems. This
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will familiar with Sampling theorem‚ quantization and PCM generation. Pre-lab Assignment : Given signal x(t) = sinc(t)‚ x(t). 1. Find out the Fourier transform of x(t)‚ X(f )‚ sketch them; 2. Find out the Nyquist sampling frequency of 3. Given sampling rate terms of fs ‚ write down the expression of the Fourier transform of xs (t) → Xs (f ) in fs = 1 Hz‚ sketch the sampled signal X(f ). xs (t) = x(kTs ) and the Fourier 4. Let sampling frequency transform of xs (t). fs
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