88 results about "Pseudorandom generator" patented technology

Systems and methods for creating, modifying, interacting with and playing music are provided, particularly systems and methods employing a top-down process, where the user is provided with a musical composition that may be modified and interacted with and played and / or stored (for later play). The system preferably is provided in a handheld form factor, and a graphical display is provided to display status information, graphical representations of musical lanes or components which preferably vary in shape as musical parameters and the like are changed for particular instruments or musical components such as a microphone input or audio samples. An interactive auto-composition process preferably is utilized that employs musical rules and preferably a pseudo random number generator, which may also incorporate randomness introduced by timing of user input or the like, the user may then quickly begin creating desirable music in accordance with one or a variety of musical styles, with the user modifying the auto-composed (or previously created) musical composition, either for a real time performance and / or for storing and subsequent playback. In addition, the present invention makes use of node-based music generation as part of a system and method to broadcast and receive music data files, which are then used to generate and play music. By incorporating the music generation process into a node / subscriber unit, the bandwidth-intensive systems of conventional techniques can be avoided. Consequently, the bandwidth can preferably be also used for additional features such as node-to-node and node-to-base music data transmission. The present invention is characterized by the broadcast of relatively small data files that contain various parameters sufficient to describe the music to the node / subscriber music generator.

A method for providing secure transactions generates a Secure Card Number (“SCN”) for a first entity that is transferred with a first entity identifier to a second entity and then to a money source that verifies that the transaction is valid by use of the first entity identifier and the SCN. The SCN includes a Transaction Information Block (“TIB”), a Counter Block, and an encrypted Personal Identification Number (“PIN”) Block. The SCN is transferred to the money source in an account number or a non-account data field. The money source can use the TIB to determine whether the SCN should be used once or multiple times or to identify one of several physical devices, all of which are issued to the first entity, used to generate the SCN. The money source validates the SCN by duplicating the encryption process used to create an encrypted PIN Block and comparing the result to the encrypted PIN Block received with the transaction. A Triple Data Encryption Standard algorithm encrypts a PIN Block generated from a PIN, a Sequence Insertion Number (“SIN”) and a known starting value. The SIN can be a combination of three seed values and a random value generated by a Pseudo Random Number Generator (“PRNG”) initialized with the seed values. A Counter value is associated with the Counter Block and the seed values.

Techniques to test a wireless communication link. A traffic channel is tested via a test data service option (TDSO) that may be negotiated and connected similar to other services. Test parameters values may be proposed, accepted or rejected, and negotiated. Test data for a channel is generated based on a defined data pattern or a pseudo-random number generator. Sufficient test data may be generated based on the generator for a test interval, stored to a buffer, and thereafter retrieved from a particular section of the buffer to form data block(s) for each "active" frame. The traffic channel may be tested using discontinuous transmission. A two-state Markov chain determines whether or not to transmit test data for each frame. The average frame activity and average burst length are defined by selecting the probabilities for transitioning between the ON / OFF states of the Markov chain, which may be driven by a second generator.

We propose methods for generating a halftone image, in which each pixel takes one of two tone values. The generated image contains hidden data, which is present at data storage pixels chosen using a pseudo-random number generator. In a first case, the data is hidden within an existing halftone image by reversing the tone value at certain of the data storage pixels, and at pixels neighboring the data storage pixels. In a second case, the halftone image is generated from a grey-scale image, and data is hidden during this conversion process.