Lectures related to Audio bit depth

Smart Sensors for the IoT: ADCs Fundamentals

Explores ADCs fundamentals for IoT smart sensors, covering quantization, non-idealities, and topologies.

Explores digital design principles, ADC architectures, FPGA-based ADCs, figures of merit, and lower bounds in digital design.

Quantization: Basics and Uniform Input

Explores quantization in digital devices, covering scalar and uniform quantization, mean square error, and signal-to-noise ratio.

Quantum Computing Fundamentals

Covers quantum computing fundamentals, ADC architectures, oversampling advantages, noise shaping, glitch phenomena, and digital integrated circuit noise.

Quantum and Nanocomputing

Explores quantum and nanocomputing, covering feedback amplifiers, ADCs, noise limitations, and ADC architectures.

Oversampled D-A: Interpolation and Distortion

Explores oversampled D-A conversion, interpolation methods, and in-band distortion compensation.

Internship Report: Enhancing Video and Audio Quality

Details an internship project focused on improving video and audio quality for streaming users.

Cloud computing support for IoT

Explores the evolution of cloud computing to support IoT applications and the challenges faced by deep learning algorithms in processing data from smart sensors.

How your PC plays discrete-time sounds

Covers digital-to-analog conversion and the role of sound cards in creating audio signals.

Adaptive Filtering: LMS Algorithm

Covers adaptive filtering using the LMS algorithm for immobile recording scenarios, focusing on practical implementation in MATLAB.

Signals & Systems II: Z Transform Properties and Inversion

Explores Z transform properties, ROC, inversion, and signal support behavior.

Data Representations and Processing

Covers data representations, challenges of imbalanced data, and strategies for data normalization and cleaning.

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X-ray Imaging: Techniques and Applications

Explores synchrotrons, x-ray lasers, lensless imaging, Nyquist frequency, aliasing, oversampling, and constraints in scattering data analysis.

Image Processing I: Quantization and Histogram Analysis

Explores image quantization, histogram analysis, and the trade-off between spatial and grayscale resolution.

Image Processing I: Ordered Dithering and Fourier Transform

Explores ordered dithering and Fourier transform in image processing.

Analog to Digital Conversion

Explores analog to digital conversion principles, CMOS technology, precision limitations, and integration of converters.

Data Representations and Processing in Machine Learning

Covers data representations and processing techniques essential for effective machine learning algorithms.

Analog and Digital Conversion

Explores analog and digital signal processing, A/D and D/A conversion, resolution, settling time, and digital interfaces in electronic circuits.

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