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"This book contains interesting findings of some state-of-the-art research in the field of signal and image processing. It contains twenty one chapters covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. Various types of signals including image, video, speech, non-speech audio, handwritten text, geometric diagram, ECG and EMG signals, MRI, PET and CT scan images, THz signals, solar wind speed signals (SWS) and photoplethysmogram (PPG) signals have been dealt with. It demonstrates how new paradigms of intelligent computing like quantum computing can be applied to process and analyze signals in a most precise and effective manner. Processing of high precision signals for real time target recognition by radar and processing of brain images, ECG and EMG signals that feature in this book have significant implications in defense mechanism and medical diagnosis. There are also applications of hybrid methods, algorithms and image filters which are proving to be better than the individual techniques or algorithms. Thus the present volume, enriched in depth and variety of techniques and algorithms concerning processing of various types of signals, is likely to be used as a compact yet handy reference for the young researchers, academicians and scientists working in the domain of signal and image processing and also to the post graduate students of computer science and information technology."

"Dalam penelitian ini dibuat perangkat lunak Prosesor DSP (Digital Signal Processing) jenis TMS320C54X untuk memproses kerja rangkaian CDMA (Code Division Multiple Access). Dengan menggunakan beberapa algoritma yaitu algoritma matematis dan algoritma table lookup diteliti algoritma manakah yang mempunyai waktu proses yang paling cepat serta algoritma manakah yang memerlukan memori yang paling kecil. Dari hasil pengamatan, Algoritma Matematis memerlukan waktu proses 20.62 milidetik, sedangkan algoritma table lookup memerlukan waktu proses 14.08 milidetik . Dari hasil pengamatan dengan menggunakan metode table lookup waktu proses CDMA lebih cepat dibandingkan dengan metode Algoritma Matematis karena dengan algoritma Matemtis terjadi proses pembulatan yang tidak sama untuk setiap data masukan. Waktu proses 14.03 milidetik masih dibawah waktu delay yang diizinkan yaitu 125 milidetik. Meskipun demikian waktu proses tersebut masih ditambah dengan waktu proses Error correction dan proses pengkompesan suara (ADPCM atau QCELP).

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This research develops the software of DSP Processor type TMS320C54X for the CDMA circuitry. This research apply two algorithms namely Mathematic Algorithm and table lookup Algorithm. From both algorithms, the research examine what algorithm have the fasted processing time and the smallest memory occupation. From the examination results the Mathematic Algorithm have 20.62 milliseconds processing time and the Table lookup algorithm have 14.08 milliseconds processing time. The Table lookup algorithm have the fastest processing time because the Matematic algorithm need the rounding process of the fi gure. Eventhough such processing time is not exceed from the 125 millisecond of delay time, in real condition, the total processing time are include the error correction processing time and voice compression processing time such as ADPCM or QCELP voice compression techniques."

"The book covers recent trends in the field of devices, wireless communication and networking. It presents the outcomes of the International Conference in Communication, Devices and Networking (ICCDN 2018), which was organized by the Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Sikkim, India on 2-3 June, 2018. Gathering cutting-edge research papers prepared by researchers, engineers and industry professionals, it will help young and experienced scientists and developers alike to explore new perspectives, and offer them inspirations on addressing real-world problems in the field of electronics, communication, devices and networking."

"Telah dilakukan penelitian untuk mendeteksi zero-crossing dari suatu sinyalanalog sinusoidal hasil dari filter digital berbasis DSP TMS320VC33 produksi TexasInstrument. Zero-Crossing dipakai sebagai komponen syncronisasi khususnya dalamaplikasi elektronika. Metode pemfilteran digital Infinite Impulse Respons dapatdiaplikasikan pada digital signal processing (DSP) untuk menghasilkan suatu Zero-Crossing Detector (ZCD) berupa data binary. ZCD mendeteksi transisi sebuah sinyalgelombang dari positif dan negatif atau sebaliknya, idealnya membatasi pulsa serupadengan kondisi tegangan pada nol volt. Digunakan frekuensi sampling 12000 dan intervalbandpass 500 – 1500 Hz untuk variasi frekuensi input sebesar 800 Hz, 900 Hz, 1 kHz, 1,1kHz, dan 1,2 kHz. Sedangkan untuk frekuensi input 5 kHz, interval bandpass berkisarantara 4 kHz – 6 kHz dengan buffer memori DSP TMS320VC33 sebesar 32-bit.Didapatkan data biner untuk mendeteksi zero-crossing dengan menggunakan fungsis_function pada pemrogram simulink pada matlab6p5."

"Saat ini, teknologi pemrosesan sinyal dijital sudah banyak digunakan dan berkembang di berbagai bidang. Salah satu aplikasi dari pemrosesan sinyal dijital adalah dalam bidang audio, salah satu contohnya adalah musik. Walaupun bidang musik penerapannya banyak di dunia hiburan, tetapi dibalik itu semua terdapat teknologi yang sebenarnya tidak sederhana. Untuk membuat musik sendiri, biasanya diperlukan alat-alat musik seperti: piano, bass, dan lain-lain. Namun, tanpa bantuan alat musik, musik sendiri tetap dapat dibuat dengan bantuan perangkat lunak komposer musik. Perangkat lunak komposer musik ini dibuat dengan bantuan MATLAB. Melalui perangkat lunak ini, dapat diciptakan musik sendiri sesuai dengan keinginan sendiri, tanpa bantuan alat musik. Pada perangkat lunak komposer musik ini, disediakan suara piano, bass, string, juga suara gelombang sinusoidal. Format database suara yang digunakan adalah WAV, kecuali gelombang sinusoidal. Melalui pemrosesan sinyal dijital, suarasuara tersebut dapat digabungkan serta dapat diatur tempo dan volumenya, sehingga dapat dihasilkan sebuah musik tepat seperti yang diinginkan.

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Nowadays, digital signal processing technology has been applied and develop in many ways. The technology can be applied in audio, which is music, for instance. Music has its advantages in entertaintment industries, but the technology itself is more complicated than it was seen by most user. In producing music, there has to be instruments, such as: piano, bass, etc. Nevertheless, there are alternate way to produce music, by using Music Composer Software.

This software is created by using MATLAB. This software enable us to produce our own music as we want, without playing any music insruments. This software is inserted with various music instruments samples, such as piano, bass, string, and sinusoidal wave. All the audio samples was formatted in WAV, except sinusoidal wave. By applying digital signal processing, we can combine the audio samples and set the volume and tempo to create our own music as we want them to be."

"This book focuses on recent research and developments on optical communications. The chapters present different aspects of optical communication systems, comprising high capacity transmission over long distances, coherent and intensity modulated technologies, orthogonal frequency-division multiplexing, ultrafast switching techniques, and photonic integrated devices. Digital signal processing and error correction techniques are also addressed. The content is of interest to graduate students and researchers in optical communications."

"The book discusses the latest developments and outlines future trends in the fields of microelectronics, electromagnetics and telecommunication. It contains original research works presented at the International Conference on Microelectronics, Electromagnetics and Telecommunication (ICMEET 2018), organised by GVP College of Engineering (A), Andhra Pradesh, India. The respective papers were written by scientists, research scholars and practitioners from leading universities, engineering colleges and R&D institutes from all over the world, and share the latest breakthroughs in and promising solutions to the most important issues facing todays society."