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"This book addresses the acoustic signal analysis and spectral dynamics of the tanpura, an Indian plucked string instrument. In addition, it strives to provide a logical and objective explanation of Indian classical musicians’ cognitive experience. Issues of relevance in this regard include the rich, mellifluous sound; the undulation of the loudness; the somewhat cyclical variation of the timbre, which is strongly related to these undulations; and the occasional perception of virtual notes to which no strings are tuned.The book analyses the materials used in the tanpura, the instrument’s simple structure, the intricacies of the lower bridge, and the theory of string vibration with variable string length. Cognitive experiments to provide the basis for perceptual quality assessment, as well as a methodology for ranking, are described. This is followed by acoustic analyses, both temporal and spectral, for sounds produced by male and female tanpuras, for each individual string and the combined one. An important aspect related to the naturalness of perceived sound, namely the intrinsically associated random perturbations, is also discussed. The apparent irregularities perceived in the acoustic signal produced by the tanpura reveal the importance of examining the signal from the perspective of non-linear analysis, an aspect that is also covered in the book.Given its scope, the book will appeal to students and researchers in the fields of music acoustics, artificial intelligence, and cognitive science, as well as musicians and musicologists around the world. "

"This book presents a novel method of grafting musical wind instruments by exchanging an instruments standard mouthpiece with different tone generators. Using the concrete example of the soprano saxophone, it describes how, with six other tone generators, including brass, double reed, and free reed mechanisms, the saxophone can be extended to nearly every wind instrument category in the von Hornbostel and Sachs classification system. The book demonstrates how it is possible to play these instrument variations with high proficiency, and describes the method of hyper-specialization, including acoustical insights, conservatory training methods and the underlying philosophy. The latter is based on the cultural traditions of the different wind instrument prototypes and the Deep Listening philosophy of cultivating internal diversity, and approach that leads to a new level of wind instrument virtuosity that offers great timbral variety combined with the flexibility of a regular acoustic wind instrument."

"The third edition of the remarkable Handbook of Visual Display Technology offers readers a comprehensive overview of the science and technology of visual displays and the economic and human interface factors associated with the displays industry. Unique in the displays field, the Handbook serves as a single reference source with expert contributions from over 150 international display professionals and academic researchers.The Handbook contains extensive coverage of established and emerging display technologies, with discussion of physical principles, materials science and processing, device technologies and particular areas of application. The wide-ranging content also encompasses the fundamental science of light and vision, image acquisition and manipulation, display materials and processing techniques, TFTs, display driving and metrology. Prominence is given to liquid crystal displays, with later chapters devoted to emerging technologies including flexible displays, electrophoretic, electrowetting and electrofluidic displays and MEMS-based displays. Other sections consider 3D display solutions, projection systems and head-worn displays.Updated and extended throughout, the third edition has been extensively reorganized and expanded with new material on micro-LEDS and OLEDs, inorganic semiconductor TFT technology, foldable displays, other emerging display technologies, augmented reality, virtual reality, and mixed reality, and market considerations. “...no engineering or science library can be without this book. It will be an asset for all companies engaged in display and display-related business.” – extract from the Foreword of the 1st Edition by Dr M Anandan, President, Society for Information Display. "

"Musik tradisional dalam ritual baliatn memiliki susunan atau struktur penyajian musik yang khusus, sehingga dapat memengaruhi pamaliatn atau tukang liatn (pemimpin ritual) memasuki masa trans. Selain itu, musik yang dimainkan berpengaruh mendatangkan kekuatan magis yang menunjukkan betapa kuatnya pengaruh dari bunyi atau suara gong, dau, dan gadobokng yang ditabuh mengiringi ritual baliatn. Masalah dalam penelitian dirumuskan menjadi bagaimanakah struktur penyajian musik dalam ritual baliatn pada masyarakat Dayak Kanayatn? Tujuan dari penelitian adalah untuk mendeskripsikan dan menganalisis masalah struktur penyajian musik dalam ritus baliatn tersebut. Metode deskriptif dengan bentuk penelitian kualitatif adalah metode yang digunakan dalam penelitian ini. Temuan penelitian menunjukkan bahwa struktur penyajian musik dalam ritual baliatn berlangsung dalam tiga tahap, yaitu: bagian awal yaitu motif tabuhan guntur mandayu, bagian inti adalah motif tabuhan ka' bawakng, dan bagian akhir menggunakan motif tabuhan ne' unte. Dalam penelitian ini dilakukan pula pembuatan notasi musik Dayak Kanayatn secara khusus dan sederhana."

"In this new edition of the Handbook of Signal Processing Systems, many of the chapters from the previous editions have been updated, and several new chapters have been added. The new contributions include chapters on signal processing methods for light field displays, throughput analysis of dataflow graphs, modeling for reconfigurable signal processing systems, fast Fourier transform architectures, deep neural networks, programmable architectures for histogram of oriented gradients processing, high dynamic range video coding, system-on-chip architectures for data analytics, analysis of finite word-length effects in fixed-point systems, and models of architecture. There are more than 700 tables and illustrations; in this edition over 300 are in color. This new edition of the handbook is organized in three parts. Part I motivates representative applications that drive and apply state-of-the art methods for design and implementation of signal processing systems; Part II discusses architectures for implementing these applications; and Part III focuses on compilers, as well as models of computation and their associated design tools and methodologies. "

"The physics of music and color deals with two subjects, music and color, sound and light in the physically objective sense, in a single volume. The basic underlying physical principles of the two subjects overlap greatly: both music and color are manifestations of wave phenomena, and commonalities exist as to the production, transmission, and detection of sound and light. This book aids readers in studying both subjects, which involve nearly the entire gamut of the fundamental laws of classical as well as modern physics. Where traditional introductory physics and courses are styled so that the basic principles are introduced first and are then applied wherever possible, this book is based on a motivational approach: it introduces a subject by demonstrating a set of related phenomena, challenging readers by calling for a physical basis for what is observed."

"Sinyal dalam konteks telekomunikasi membawa informasi dengan variasi terhadap waktu, termasuk sinyal suara yang bersifat non-stasioner. Kehadiran noise dalam sinyal suara dapat mengurangi kualitas informasi yang ditransmisikan. Penggunaan transformasi wavelet telah menjadi pendekatan yang efektif dalam denoising sinyal suara, namun untuk hasil optimal, diperlukan pemilihan model threshold dan wavelet families yang tepat. Penelitian ini mengeksplorasi kinerja berbagai model threshold dalam denoising sinyal suara. Hasil penelitian menunjukkan bahwa waktu komputasi untuk denoising meningkat seiring dengan peningkatan level dekomposisi, dengan threshold Donoho memiliki waktu komputasi tercepat, diikuti oleh modifikasi, dan acuan Gang Yang [9] paling lambat. Penggunaan wavelet families juga memengaruhi nilai Mean Squared Error (MSE) dan waktu komputasi. Model threshold acuan Gang Yang [9] memberikan MSE terbaik dengan waktu komputasi 119,252 detik pada level dekomposisi 4, sedangkan threshold modifikasi menawarkan waktu komputasi lebih cepat yaitu 87,965 detik dengan MSE hampir setara pada level dekomposisi 2. Peningkatan panjang filter wavelet meningkatkan kompleksitas program dan waktu komputasi, namun efeknya bervariasi pada tiap model threshold. Selain itu, dilakukan denoising pada noise teras rumah (SPL 83,445 dB) dan noise mesin konstruksi (SPL 87,439 dB). Pada noise teras rumah, level dekomposisi 1 dengan Biorthogonal 3.3 (bior33) paling efektif, mengurangi SPL menjadi 40,216 dB. Pada noise mesin konstruksi, level dekomposisi 1 dengan Reverse Biorthogonal 3.3 (rbio33) paling efektif, menurunkan SPL menjadi 69,569 dB. Berdasarkan hal tersebut, dalam memilih model threshold yang optimal, perlu dipertimbangkan nilai MSE dan efisiensi komputasi. Penelitian ini memberikan wawasan penting dalam memilih metode denoising yang efektif untuk meningkatkan kualitas sinyal suara.

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In telecommunications, signals carry information with variations over time, including non-stationary audio signals. Noise in audio signals can degrade the quality of transmitted information. Wavelet transform is an effective approach for denoising audio signals, but optimal results require appropriate threshold models and wavelet families. This study explores the performance of various threshold models in denoising speech signals. Results indicate that computation time for denoising increases with decomposition levels; the Donoho threshold is the fastest, followed by the modified model, with Gang Yang [9]'s reference model being the slowest. Wavelet family choice significantly impacts Mean Squared Error (MSE) and computation time. The Gang Yang [9] reference model offers the best MSE at SNR 20-27 with a slight computation time increase (119.252 seconds at level 4), while the modified model achieves faster computation (87.965 seconds at level 2) with nearly equivalent MSE. Longer wavelet filters increase program complexity and computation time, varying by threshold model. Additionally, denoising was performed on residential porch noise (SPL 83.445 dB) and construction machinery noise (SPL 87.439 dB). For residential porch noise, decomposition level 1 with Biorthogonal 3.3 (bior33) was most effective, reducing the SPL to 40.216 dB. For construction machinery noise, decomposition level 1 with Reverse Biorthogonal 3.3 (rbio33) was most effective, lowering the SPL to 69.569 dB. Thus, selecting an optimal threshold model involves considering both MSE and computational efficiency. This study provides key insights for effective denoising methods to enhance speech signal quality."