{"id":7150,"date":"2019-12-14T16:51:42","date_gmt":"2019-12-14T16:51:42","guid":{"rendered":"https:\/\/www.inspirenignite.com\/vtu\/signal-process-mechatronics-7th-sem-syllabus-for-vtu-be-2017-scheme\/"},"modified":"2019-12-14T16:51:42","modified_gmt":"2019-12-14T16:51:42","slug":"signal-process-mechatronics-7th-sem-syllabus-for-vtu-be-2017-scheme","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/vtu\/signal-process-mechatronics-7th-sem-syllabus-for-vtu-be-2017-scheme\/","title":{"rendered":"Signal Process Mechatronics 7th Sem Syllabus for VTU BE 2017 Scheme"},"content":{"rendered":"

Signal Process detail syllabus for Mechatronics (Mechatronics), 2017 scheme is taken from VTU<\/a> official website and presented for VTU students. The course code (17MT73), and for exam duration, Teaching Hr\/week, Practical Hr\/week, Total Marks, internal marks, theory marks, duration and credits do visit complete sem subjects post given below.<\/p>\n

For all other mechatronics 7th sem syllabus for be 2017 scheme vtu you can visit Mechatronics 7th Sem syllabus for BE 2017 Scheme VTU Subjects<\/a>. The detail syllabus for signal process is as follows.<\/p>\n

Course Objectives:<\/h4>\n

Students will be able to<\/p>\n

    \n
  1. Gain knowledge of signal, system, transformation and filter.<\/li>\n
  2. Understand time domain, frequency domain signals, analog and digital systems.<\/li>\n
  3. Operate on signals and systems to bring out its characteristics and desired information.<\/li>\n
  4. Design analog and digital filers and implement discrete time systems.<\/li>\n<\/ol>\n

    Module 1<\/h4>\n

    For complete syllabus and results, class timetable and more pls download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

    Module 2<\/h4>\n

    Time-domain representations for LTI systems: Convolution, impulse response representation, Convolution Sum and Convolution Integral. Properties of impulse response representation,\n<\/p>\n

    Module 3<\/h4>\n

    Discrete Fourier Transforms (DFT): Introduction to DFT, Properties of DFT, multiplication of two DFTs- the circular convolution, additional DFT properties, use of DFT in linear filtering, overlap-save and overlap-add method. Fast-Fourier-Transform (FFT) algorithms: Direct computation of DFT, need for efficient computation of the DFT (FFT algorithms).Radix-2 FFT algorithm for the computation of DFT and IDFT-decimation-in-time and Decimation-in-frequency algorithms\n<\/p>\n

    Module 4<\/h4>\n

    For complete syllabus and results, class timetable and more pls download iStudy<\/a>. Its a light weight, easy to use, no images, no pdfs platform to make students life easier.<\/p>\n

    Module 5<\/h4>\n

    FIR filter design: Introduction to FIR filters, design of FIR filters using – Rectangular, Hamming, Hanning and Kaiser windows, FIR filter design using frequency sampling Technique. Implementation of discrete-time systems: Structures for IIR and FIR systems-direct form I and direct form II systems, cascade, lattice and parallel realization.\n<\/p>\n

    Course Outcomes:<\/h4>\n

    On completion of the course the student will <\/p>\n