Click each topic for information and research studies
Robotics UAV Control Systems
Investment in unmanned aerial vehicles (UAVs) is expected to boom in the coming decade. They will be used
for civilian surveillance, atmospheric prediction, military uses on the battle field and by local policing agencies.
We provide general and technical articles on research in control systems, uav design and robotics, along with
the communications and logistics infrastructure required for their operation.
This is a form of communication where transmitters encode the message being sent into an optical signal to be
transported to the receiver. The message is then returned to its original understandable form.
Emergent Computation is a valuable concept for secure communications because it is the localized parts which
forms a temporary, imaginary command post not subject to being disabled or destroyed.
Multiple Input, Multiple Output (MIMO)- Optical Communication
MIMO is a technique using multiple receivers and transmitters on wireless devices to improve performance. By
using 2 transmitters and 2 receivers two data streams are produced simultaneously which doubles the data
rate and increase the distance allowed between devices.
Orthogonal Frequency Division Multiplexing (OFDM)
OFDM is a technique that allows a base station to split a chunk of radio spectrum into sub-channels. This
method transmits data using a large number of carriers that are separated on different frequencies to carry
one data stream which has been broken up into many signals.
Wavelet transform is capable giving us both the specific time and frequency information, which allows us to
know this information about our signal.
Fast Fourier Transforms (FFT)
The Fast Fourier Transform is a way of doing this quickly and without needing to calculate the number of
values that the less efficient discrete Fourier transform requires. One of the drawbacks of the fast in the FFT is
that it almost always requires a number of samples divisible by 2.
Digital Signal Processing
Light, sound, position, temperature, etc. are manipulated and transformed into signals which are analyzed for
meaningful information intended to solve a given problem.
Information coding and digital signal processing can improve the resolution and image clarity over previously
used analog methods. Coding information is also important in the security of digital or optical information.
When parallel computing is utilized all computer processors have access to the same stored memory and this
memory and information can be passed between the processors and most distributed computing systems
processors run together or parallel.