ECE220 SIGNAL AND SYSTEMS 15712::Rosepreet Kaur Bhogal Course Category Tutorials Practicals Credits Courses with numerical and conceptual focus 3.0 1.0 TextBooks Sr No Title Author Edition T-1 SIGNALS AND SYSTEMS ALAN.V.OPPENHEIM Year 2nd Publisher Name PRENTICE HALL Reference Books Sr No Title Author Edition Year Publisher Name R-1 SIGNAL AND SYTEMS SIMON HAYKIN 2nd 2005 JOHN WILEY & SONS R-2 SIGNALS AND SYSTEMS
Premium Fourier transform Fourier analysis Digital signal processing
produce a close approximation of the original signal. The wavelet transform of a signal decomposes the original signal into wavelets coefficients at different scales and positions. These coefficients represent the signal in the wavelet domain and all data operations can be performed using just the corresponding wavelet coefficients. The major issues concerning the design of this Wavelet based speech coder are choosing optimal wavelets for speech signals‚ decomposition level in the DWT‚ thresholding
Premium Data compression Digital signal processing
C. D. Telephone Systems Text-to-Speech Synthesis Voice Mail Systems Multimedia IX. X. Conclusion References 1 1 Proposal Linear predictive coding(LPC) is defined as a digital method for encoding an analog signal in which a particular value is predicted by a linear function of the past values of the signal. It was first proposed as a method for encoding human speech by the United States Department of Defence in federal standard 1015‚ published in 1984. Human speech is produced in the
Premium Data compression Digital signal processing
Adaptive Filters 1 Adaptive Filters A Tutorial for the Course Computational Intelligence http://www.igi.tugraz.at/lehre/CI Christian Feldbauer‚ Franz Pernkopf‚ and Erhard Rank Signal Processing and Speech Communication Laboratory Inffeldgasse 16c Abstract This tutorial introduces the LMS (least mean squares) and the RLS (recursive least-squares) algorithm for the design of adaptive transversal filters. These algorithms are applied for identification of an unknown system. Usage
Premium Digital signal processing Linear algebra
References: 1. Edited by Lawrence R.Rabiner‚ Charles M.Rader‚ “Digital Signal processing”‚ IEEE Press. 2. Oran E.Brigham‚ “FFT and its Applications”‚ Prentice Hall‚ 1988. 3.www.mathworks.com & www.ti.com 4.www.wikipedia.com 5.Digital signal processing‚ salivanan
Premium Digital signal processing Discrete Fourier transform Blood
PIPELINED RADIX-2K FEED FORWARD FFT ARCHITECTURES ABSTRACT The Fast Fourier transform (FFT) is one of the most important algorithms in the field of digital signal processing. It is used to calculate the discrete Fourier transform (DFT) efficiently. In order to meet the high performance and real-time requirements of modern applications‚ hardware designers have always tried to implement efficient architectures for the computation of the FFT. In this context‚ pipelined hardware architectures are
Premium Discrete Fourier transform Digital signal processing
strong conceptual understanding of the same .It introduced me to a wide range of subjects‚ both in and outside the field. Various subjects like Digital Signal Processing‚ Feedback control system‚ Microprocessors‚ Computer Network and Transmission Lines‚ Network Application and Technology‚ System and Network Programming Introduction to data structure‚ Digital Logic Design‚ Electromagnetism‚ Antennas‚ Opticals‚ Microwave Engineering and Principles of Communications provided me with a strong footing in
Premium Digital signal processing Control theory Control system
electrical signal to make it readable by an A/D board • Convert the signal into a digital format acceptable by a computer • Process‚ analyze‚ store‚ and display the acquired data with the help of software Data Acquisition System Block Diagram Flow of information in DAQ 1. 2. 3. 4. 5. 6. 7. Input transducer – measure physical quantity Output from transducer – conditioned i.e. amplify‚ filter‚ conversion Conditioned analog signal – digitized using ADC Digital information
Premium Digital Digital signal processing Data acquisition
Bipolar DAC(digital-to-analog converter) In electronics‚ a digital-to-analog converter (DAC or D-to-A) is a device that converts a digital (usually binary) code to an analog signal (current‚ voltage‚ or electric charge). An analog-to-digital converter (ADC) performs the reverse operation. Signals are easily stored and transmitted in digital form‚ but a DAC is needed for the signal to be recognized by human senses or other non-digital systems. A common use of digital-to-analog converters is generation
Premium Digital signal processing
23th January 1985 Melbourne‚ VIC 3066 Nationality: Indian Tel: 0430885636 Email: appackan@gmail.com PERSONAL PROFILE I am a passionate and dedicated engineer with experience in digital signal processing and multimedia domains. I have good communication skills and a pleasing personality that would make me a good addition to a team of professionals. I am a quick learner with good organizational skills. SKILLS |Programming Language/Technology/Tool/Platform
Free Bachelor's degree Academic degree Design