[BOG][B] Multirate signal processing for communication systems
FJ Harris - 2022 - taylorfrancis.com
Multirate Signal processing can improve system performance and reduce costs in
applications ranging from laboratory instruments, cable modems, wireless systems …
applications ranging from laboratory instruments, cable modems, wireless systems …
A fast and robust deep convolutional neural networks for complex human activity recognition using smartphone
As a significant role in healthcare and sports applications, human activity recognition (HAR)
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …
Seat-occupancy detection system and breathing rate monitoring based on a low-cost mm-wave radar at 60 ghz
This work presents a seat-occupancy detection system based on a PCR (Pulsed Coherent
Radar) at the unlicensed 60 GHz ISM band. The radar can measure distances with sub …
Radar) at the unlicensed 60 GHz ISM band. The radar can measure distances with sub …
[HTML][HTML] Deep learning for automatic assessment of breathing-debonds in stiffened composite panels using non-linear guided wave signals
This paper presents a new structural health monitoring strategy based on a deep learning
architecture that uses nonlinear ultrasonic signals for the automatic assessment of breathing …
architecture that uses nonlinear ultrasonic signals for the automatic assessment of breathing …
Cooperative coevolutionary genetic algorithm for digital IIR filter design
A novel algorithm for digital infinite-impulse response (IIR) filter design is proposed in this
paper. The suggested algorithm is a kind of cooperative coevolutionary genetic algorithm. It …
paper. The suggested algorithm is a kind of cooperative coevolutionary genetic algorithm. It …
[BOG][B] Principles of electrical measurement
S Tumanski - 2006 - taylorfrancis.com
The field of electrical measurement continues to grow, with new techniques developed each
year. From the basic thermocouple to cutting-edge virtual instrumentation, it is also …
year. From the basic thermocouple to cutting-edge virtual instrumentation, it is also …
[BOG][B] Digital signal processing with examples in MATLAB
SD Stearns, DR Hush - 2002 - taylorfrancis.com
In a field as rapidly expanding as digital signal processing, even the topics relevant to the
basics change over time both in their nature and their relative importance. It is important …
basics change over time both in their nature and their relative importance. It is important …
Deep learning enhanced label-free action potential detection using plasmonic-based electrochemical impedance microscopy
Measuring neuronal electrical activity, such as action potential propagation in cells, requires
the sensitive detection of the weak electrical signal with high spatial and temporal resolution …
the sensitive detection of the weak electrical signal with high spatial and temporal resolution …
Modeling and classification of voluntary and imagery movements for brain–computer interface from fNIR and EEG signals through convolutional neural network
Practical brain–computer interface (BCI) demands the learning-based adaptive model that
can handle diverse problems. To implement a BCI, usually functional near-infrared …
can handle diverse problems. To implement a BCI, usually functional near-infrared …
[BOG][B] Signal processing in radar systems
V Tuzlukov - 2017 - books.google.com
An essential task in radar systems is to find an appropriate solution to the problems related
to robust signal processing and the definition of signal parameters. Signal Processing in …
to robust signal processing and the definition of signal parameters. Signal Processing in …